量测最小分辨率特性下自主相对导航设计方法
CSTR:
作者:
作者单位:

(1.厦门大学 嘉庚学院, 363105 福建 厦门; 2.哈尔滨工业大学 航天学院, 150001 哈尔滨; 3.上海航天控制技术研究所, 200233 上海)

作者简介:

周朝霞(1978—),女,硕士,讲师; 曾庆双(1963—),男,教授,博士生导师.

通讯作者:

周朝霞, zhouzhaoxia@xujc.com.

中图分类号:

V448.21

基金项目:


Autonomous relative navigation constrained by minimum measure resolution
Author:
Affiliation:

(1. Tan Kah Kee College,Xiamen University, 363105 Xiamen, Fujian,China; 2. School of Astronautics, Harbin Institute of Technology, 150001 Harbin, China; 3. Shanghai Aerospace Control Engineering Institute, 200233 Shanghai, China)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为抑制量测最小分辨率特性对导航滤波产生的振荡特性,建立了准确的量测模型,提出导航系统自适应变步长设计方案,并理论上分析对比了该方案与工程上常用的低带宽设计方案的滤波性能.分析表明,随着滤波带宽的降低,系统的常偏及白噪声误差反比例增大,收敛时间变长;该较低带宽设计大幅降低标称系统性能损失.仿真表明,该设计相对速度滤波精度为2E-3 m/s(3σ),使较低带宽设计提高一个数量级,满足高精度卫星编队飞行的任务需求.

    Abstract:

    In order to suppress the oscillation characteristics of relative navigation system caused by minimum measure resolution, an accurate microwave measure model is developed, and an adaptive step-size filtering algorithm is presented in the paper; Performance analysis and comparison between the adaptive step-size filtering algorithm and the low-bandwidth design algorithm widely used in the project is made. The theoretical comparison result indicates that the bias and random error increases inversely with the decreasing of filtering bandwidth, and convergence process becomes longer, but the adaptive step-size filtering algorithm largely reduces the performance loss. Simulation result shows that the relative velocity estimation error is 2E-3 m/s(3σ), which is reduced by one order of magnitude compared with the relative velocity estimation error of low bandwidth method, and can satisfy the mission requirements for high precision satellite formation.

    参考文献
    相似文献
    引证文献
引用本文

周朝霞,任家栋,曾庆双,黄云鹰.量测最小分辨率特性下自主相对导航设计方法[J].哈尔滨工业大学学报,2015,47(3):49. DOI:10.11918/j. issn.0367-6234.2015.03.008

复制
相关视频

分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2014-02-09
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2015-03-26
  • 出版日期:
文章二维码